Results 201 to 210 of about 477,602 (261)

A comparison of change point detection methods for pest outbreak detection. [PDF]

Environ Syst Decis
Ma H, Leibowicz BD, Hasenbein JJ.
europepmc   +1 more source

Joint Transmit-Receive Weight Optimization for FDA Radar to Balance Active Detection and RF Stealth. [PDF]

Sensors (Basel)
Guan H, Zhang S, Wang WQ.
europepmc   +1 more source

Molecular surveillance and predictive risk modelling of avian influenza virus in wild birds in Egypt. [PDF]

J Gen Virol
Nabil NM, Tawakol MM, Hagag N, Eid S, Brierley L, Naguib MM.   +5 more
europepmc   +1 more source

High-Performance SiPM Detection Module for Ultra-Fast Time-Resolved Measurements. [PDF]

Sensors (Basel)
Fratta G, Daniele P, Labanca I, Penna M, Acconcia G, Gola A, Rech I.   +6 more
europepmc   +1 more source

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Emulating Low Probability of Detection Algorithms

2020 30th International Telecommunication Networks and Applications Conference (ITNAC), 2020
Software Defined Radios (SDRs) can be used to create and modify radio waveforms in order to perform research into various wireless network problems. Defence Science and Technology Group (DSTG) has created the Experimental Framework of SDRs (EFOS) incorporating bespoke SDRs communicating with one another through an RF attenuation matrix.
James Yockey, Benjamin Campbell, Andrew Coyle, Robert A. Hunjet   +3 more
openaire   +1 more source

Minimising RF Detectability for Low Probability of Detection Communication

2018 Military Communications and Information Systems Conference (MilCIS), 2018
This paper describes the need for management of transmission powers in mobile land networks in order to achieve low probability of detection. It explores applicable work in topology control and presents sub-graph search, a localized search method for finding the topology with the lowest detectability footprint.
Benjamin Campbell, Anthony Perry, Robert A. Hunjet, Guangsong Wang, Bruce S. Northcote   +4 more
openaire   +1 more source

An empirical probability model of detecting species at low densities

Ecological Applications, 2010
False negatives, not detecting things that are actually present, are an important but understudied problem. False negatives are the result of our inability to perfectly detect species, especially those at low density such as endangered species or newly arriving introduced species.
David G, Delaney, Brian, Leung
openaire   +2 more sources